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* container.txi, aspell-octave.en.pws, expr.txi, vectorize.txi, accumarray.m,
accumdim.m, interpft.m, strread.m, parseparams.m, warning_ids.m, cellfun.cc,
help.cc: grammarcheck and spellcheck docstrings.
author | Rik <octave@nomad.inbox5.com> |
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date | Thu, 29 Dec 2011 06:05:00 -0800 |
parents | 951eacaf9381 |
children | 72c96de7a403 |
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@c Copyright (C) 1996-2011 John W. Eaton @c @c This file is part of Octave. @c @c Octave is free software; you can redistribute it and/or modify it @c under the terms of the GNU General Public License as published by the @c Free Software Foundation; either version 3 of the License, or (at @c your option) any later version. @c @c Octave is distributed in the hope that it will be useful, but WITHOUT @c ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or @c FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License @c for more details. @c @c You should have received a copy of the GNU General Public License @c along with Octave; see the file COPYING. If not, see @c <http://www.gnu.org/licenses/>. @node Data Containers @chapter Data Containers @cindex containers Octave includes support for two different mechanisms to contain arbitrary data types in the same variable. Structures, which are C-like, and are indexed with named fields, and cell arrays, where each element of the array can have a different data type and or shape. Multiple input arguments and return values of functions are organized as another data container, the comma separated list. @menu * Structures:: * Cell Arrays:: * Comma Separated Lists:: @end menu @node Structures @section Structures @cindex structures @cindex data structures Octave includes support for organizing data in structures. The current implementation uses an associative array with indices limited to strings, but the syntax is more like C-style structures. @menu * Basic Usage and Examples:: * Structure Arrays:: * Creating Structures:: * Manipulating Structures:: * Processing Data in Structures:: @end menu @node Basic Usage and Examples @subsection Basic Usage and Examples Here are some examples of using data structures in Octave. Elements of structures can be of any value type. For example, the three expressions @example @group x.a = 1; x.b = [1, 2; 3, 4]; x.c = "string"; @end group @end example @opindex . @noindent create a structure with three elements. The @samp{.} character separates the structure name from the field name and indicates to Octave that this variable is a structure. To print the value of the structure you can type its name, just as for any other variable: @example @group x @result{} x = @{ a = 1 b = 1 2 3 4 c = string @} @end group @end example @noindent Note that Octave may print the elements in any order. Structures may be copied just like any other variable: @example @group y = x @result{} y = @{ a = 1 b = 1 2 3 4 c = string @} @end group @end example Since structures are themselves values, structure elements may reference other structures. The following statements change the value of the element @code{b} of the structure @code{x} to be a data structure containing the single element @code{d}, which has a value of 3. @example @group x.b.d = 3; x.b @result{} ans = @{ d = 3 @} x @result{} x = @{ a = 1 b = @{ d = 3 @} c = string @} @end group @end example Note that when Octave prints the value of a structure that contains other structures, only a few levels are displayed. For example: @example @group a.b.c.d.e = 1; a @result{} a = @{ b = @{ c = @{ 1x1 struct array containing the fields: d: 1x1 struct @} @} @} @end group @end example @noindent This prevents long and confusing output from large deeply nested structures. The number of levels to print for nested structures may be set with the function @code{struct_levels_to_print}, and the function @code{print_struct_array_contents} may be used to enable printing of the contents of structure arrays. @DOCSTRING(struct_levels_to_print) @DOCSTRING(print_struct_array_contents) Functions can return structures. For example, the following function separates the real and complex parts of a matrix and stores them in two elements of the same structure variable. @example @group function y = f (x) y.re = real (x); y.im = imag (x); endfunction @end group @end example When called with a complex-valued argument, @code{f} returns the data structure containing the real and imaginary parts of the original function argument. @example @group f (rand (2) + rand (2) * I) @result{} ans = @{ im = 0.26475 0.14828 0.18436 0.83669 re = 0.040239 0.242160 0.238081 0.402523 @} @end group @end example Function return lists can include structure elements, and they may be indexed like any other variable. For example: @example [ x.u, x.s(2:3,2:3), x.v ] = svd ([1, 2; 3, 4]); x @result{} x = @{ u = -0.40455 -0.91451 -0.91451 0.40455 s = 0.00000 0.00000 0.00000 0.00000 5.46499 0.00000 0.00000 0.00000 0.36597 v = -0.57605 0.81742 -0.81742 -0.57605 @} @end example It is also possible to cycle through all the elements of a structure in a loop, using a special form of the @code{for} statement (@pxref{Looping Over Structure Elements}). @node Structure Arrays @subsection Structure Arrays A structure array is a particular instance of a structure, where each of the fields of the structure is represented by a cell array. Each of these cell arrays has the same dimensions. Conceptually, a structure array can also be seen as an array of structures with identical fields. An example of the creation of a structure array is @example @group x(1).a = "string1"; x(2).a = "string2"; x(1).b = 1; x(2).b = 2; @end group @end example @noindent which creates a 2-by-1 structure array with two fields. Another way to create a structure array is with the @code{struct} function (@pxref{Creating Structures}). As previously, to print the value of the structure array, you can type its name: @example @group x @result{} x = @{ 1x2 struct array containing the fields: a b @} @end group @end example Individual elements of the structure array can be returned by indexing the variable like @code{@var{x}(1)}, which returns a structure with two fields: @example @group x(1) @result{} ans = @{ a = string1 b = 1 @} @end group @end example Furthermore, the structure array can return a comma separated list of field values (@pxref{Comma Separated Lists}), if indexed by one of its own field names. For example: @example @group x.a @result{} ans = string1 ans = string2 @end group @end example Here is another example, using this comma separated list on the left-hand side of an assignment: @example @group [x.a] = deal("new string1", "new string2"); x(1).a @result{} ans = new string1 x(2).a @result{} ans = new string2 @end group @end example Just as for numerical arrays, it is possible to use vectors as indices (@pxref{Index Expressions}): @example @group x(3:4) = x(1:2); [x([1,3]).a] = deal("other string1", "other string2"); x.a @result{} ans = other string1 ans = new string2 ans = other string2 ans = new string2 @end group @end example The function @code{size} will return the size of the structure. For the example above @example @group size(x) @result{} ans = 1 4 @end group @end example Elements can be deleted from a structure array in a similar manner to a numerical array, by assigning the elements to an empty matrix. For example @example @group in = struct ("call1", @{x, Inf, "last"@}, "call2", @{x, Inf, "first"@}) @result{} in = @{ 1x3 struct array containing the fields: call1 call2 @} in(1) = []; in.call1 @result{} ans = Inf ans = last @end group @end example @node Creating Structures @subsection Creating Structures @cindex dynamic naming Besides the index operator ".", Octave can use dynamic naming "(var)" or the @code{struct} function to create structures. Dynamic naming uses the string value of a variable as the field name. For example: @example @group a = "field2"; x.a = 1; x.(a) = 2; x @result{} x = @{ a = 1 field2 = 2 @} @end group @end example More realistically, all of the functions that operate on strings can be used to build the correct field name before it is entered into the data structure. @example @group names = ["Bill"; "Mary"; "John"]; ages = [37; 26; 31]; for i = 1:rows (names) database.(names(i,:)) = ages(i); endfor database @result{} database = @{ Bill = 37 Mary = 26 John = 31 @} @end group @end example The third way to create structures is the @code{struct} command. @code{struct} takes pairs of arguments, where the first argument in the pair is the fieldname to include in the structure and the second is a scalar or cell array, representing the values to include in the structure or structure array. For example: @example @group struct ("field1", 1, "field2", 2) @result{} ans = @{ field1 = 1 field2 = 2 @} @end group @end example If the values passed to @code{struct} are a mix of scalar and cell arrays, then the scalar arguments are expanded to create a structure array with a consistent dimension. For example: @example @group s = struct ("field1", @{1, "one"@}, "field2", @{2, "two"@}, "field3", 3); s.field1 @result{} ans = 1 ans = one s.field2 @result{} ans = 2 ans = two s.field3 @result{} ans = 3 ans = 3 @end group @end example If you want to create a struct which contains a cell array as an individual field, you must wrap it in another cell array as shown in the following example: @example @group struct ("field1", @{@{1, "one"@}@}, "field2", 2) @result{} ans = @{ field1 = @{ [1,1] = 1 [1,2] = one @} field2 = 2 @} @end group @end example @DOCSTRING(struct) The function @code{isstruct} can be used to test if an object is a structure or a structure array. @DOCSTRING(isstruct) @node Manipulating Structures @subsection Manipulating Structures Other functions that can manipulate the fields of a structure are given below. @DOCSTRING(nfields) @DOCSTRING(fieldnames) @DOCSTRING(isfield) @DOCSTRING(getfield) @DOCSTRING(setfield) @DOCSTRING(rmfield) @DOCSTRING(orderfields) @DOCSTRING(substruct) @node Processing Data in Structures @subsection Processing Data in Structures The simplest way to process data in a structure is within a @code{for} loop (@pxref{Looping Over Structure Elements}). A similar effect can be achieved with the @code{structfun} function, where a user defined function is applied to each field of the structure. @xref{doc-structfun}. Alternatively, to process the data in a structure, the structure might be converted to another type of container before being treated. @DOCSTRING(struct2cell) @node Cell Arrays @section Cell Arrays @cindex cell arrays It can be both necessary and convenient to store several variables of different size or type in one variable. A cell array is a container class able to do just that. In general cell arrays work just like @math{N}-dimensional arrays with the exception of the use of @samp{@{} and @samp{@}} as allocation and indexing operators. @menu * Basic Usage of Cell Arrays:: * Creating Cell Arrays:: * Indexing Cell Arrays:: * Cell Arrays of Strings:: * Processing Data in Cell Arrays:: @end menu @node Basic Usage of Cell Arrays @subsection Basic Usage of Cell Arrays @opindex @{ @opindex @} As an example, the following code creates a cell array containing a string and a 2-by-2 random matrix @example c = @{"a string", rand(2, 2)@}; @end example @noindent To access the elements of a cell array, it can be indexed with the @{ and @} operators. Thus, the variable created in the previous example can be indexed like this: @example @group c@{1@} @result{} ans = a string @end group @end example @noindent As with numerical arrays several elements of a cell array can be extracted by indexing with a vector of indexes @example @group c@{1:2@} @result{} ans = a string @result{} ans = 0.593993 0.627732 0.377037 0.033643 @end group @end example The indexing operators can also be used to insert or overwrite elements of a cell array. The following code inserts the scalar 3 on the third place of the previously created cell array @example @group c@{3@} = 3 @result{} c = @{ [1,1] = a string [1,2] = 0.593993 0.627732 0.377037 0.033643 [1,3] = 3 @} @end group @end example Details on indexing cell arrays are explained in @ref{Indexing Cell Arrays}. In general nested cell arrays are displayed hierarchically as in the previous example. In some circumstances it makes sense to reference them by their index, and this can be performed by the @code{celldisp} function. @DOCSTRING(celldisp) To test if an object is a cell array, use the @code{iscell} function. For example: @example @group iscell(c) @result{} ans = 1 iscell(3) @result{} ans = 0 @end group @end example @DOCSTRING(iscell) @node Creating Cell Arrays @subsection Creating Cell Array The introductory example (@pxref{Basic Usage of Cell Arrays}) showed how to create a cell array containing currently available variables. In many situations, however, it is useful to create a cell array and then fill it with data. The @code{cell} function returns a cell array of a given size, containing empty matrices. This function is similar to the @code{zeros} function for creating new numerical arrays. The following example creates a 2-by-2 cell array containing empty matrices @example @group c = cell(2,2) @result{} c = @{ [1,1] = [](0x0) [2,1] = [](0x0) [1,2] = [](0x0) [2,2] = [](0x0) @} @end group @end example Just like numerical arrays, cell arrays can be multi-dimensional. The @code{cell} function accepts any number of positive integers to describe the size of the returned cell array. It is also possible to set the size of the cell array through a vector of positive integers. In the following example two cell arrays of equal size are created, and the size of the first one is displayed @example @group c1 = cell(3, 4, 5); c2 = cell( [3, 4, 5] ); size(c1) @result{} ans = 3 4 5 @end group @end example @noindent As can be seen, the @ref{doc-size, @code{size}} function also works for cell arrays. As do other functions describing the size of an object, such as @ref{doc-length, @code{length}}, @ref{doc-numel, @code{numel}}, @ref{doc-rows, @code{rows}}, and @ref{doc-columns, @code{columns}}. @DOCSTRING(cell) As an alternative to creating empty cell arrays, and then filling them, it is possible to convert numerical arrays into cell arrays using the @code{num2cell}, @code{mat2cell} and @code{cellslices} functions. @DOCSTRING(num2cell) @DOCSTRING(mat2cell) @DOCSTRING(cellslices) @node Indexing Cell Arrays @subsection Indexing Cell Arrays As shown in @pxref{Basic Usage of Cell Arrays} elements can be extracted from cell arrays using the @samp{@{} and @samp{@}} operators. If you want to extract or access subarrays which are still cell arrays, you need to use the @samp{(} and @samp{)} operators. The following example illustrates the difference: @example @group c = @{"1", "2", "3"; "a", "b", "c"; "4", "5", "6"@}; c@{2,3@} @result{} ans = c c(2,3) @result{} ans = @{ [1,1] = c @} @end group @end example @noindent So with @samp{@{@}} you access elements of a cell array, while with @samp{()} you access a sub array of a cell array. Using the @samp{(} and @samp{)} operators, indexing works for cell arrays like for multi-dimensional arrays. As an example, all the rows of the first and third column of a cell array can be set to @code{0} with the following command: @example @group c(:, [1, 3]) = @{0@} @result{} = @{ [1,1] = 0 [2,1] = 0 [3,1] = 0 [1,2] = 2 [2,2] = 10 [3,2] = 20 [1,3] = 0 [2,3] = 0 [3,3] = 0 @} @end group @end example Note, that the above can also be achieved like this: @example c(:, [1, 3]) = 0; @end example @noindent Here, the scalar @samp{0} is automatically promoted to cell array @samp{@{0@}} and then assigned to the subarray of @code{c}. To give another example for indexing cell arrays with @samp{()}, you can exchange the first and the second row of a cell array as in the following command: @example @group c = @{1, 2, 3; 4, 5, 6@}; c([1, 2], :) = c([2, 1], :) @result{} = @{ [1,1] = 4 [2,1] = 1 [1,2] = 5 [2,2] = 2 [1,3] = 6 [2,3] = 3 @} @end group @end example Accessing multiple elements of a cell array with the @samp{@{} and @samp{@}} operators will result in a comma-separated list of all the requested elements (@pxref{Comma Separated Lists}). Using the @samp{@{} and @samp{@}} operators the first two rows in the above example can be swapped back like this: @example @group [c@{[1,2], :@}] = deal(c@{[2, 1], :@}) @result{} = @{ [1,1] = 1 [2,1] = 4 [1,2] = 2 [2,2] = 5 [1,3] = 3 [2,3] = 6 @} @end group @end example As for struct arrays and numerical arrays, the empty matrix @samp{[]} can be used to delete elements from a cell array: @example @group x = @{"1", "2"; "3", "4"@}; x(1, :) = [] @result{} x = @{ [1,1] = 3 [1,2] = 4 @} @end group @end example The following example shows how to just remove the contents of cell array elements but not delete the space for them: @example @group x = @{"1", "2"; "3", "4"@}; x@{1, :@} = [] @result{} x = @{ [1,1] = [](0x0) [2,1] = 3 [1,2] = [](0x0) [2,2] = 4 @} @end group @end example The indexing operations operate on the cell array and not on the objects within the cell array. By contrast, @code{cellindexmat} applies matrix indexing to the objects within each cell array entry and returns the requested values. @DOCSTRING(cellindexmat) @node Cell Arrays of Strings @subsection Cell Arrays of Strings One common use of cell arrays is to store multiple strings in the same variable. It is also possible to store multiple strings in a character matrix by letting each row be a string. This, however, introduces the problem that all strings must be of equal length. Therefore, it is recommended to use cell arrays to store multiple strings. For cases, where the character matrix representation is required for an operation, there are several functions that convert a cell array of strings to a character array and back. @code{char} and @code{strvcat} convert cell arrays to a character array (@pxref{Concatenating Strings}), while the function @code{cellstr} converts a character array to a cell array of strings: @example @group a = ["hello"; "world"]; c = cellstr (a) @result{} c = @{ [1,1] = hello [2,1] = world @} @end group @end example @DOCSTRING(cellstr) One further advantage of using cell arrays to store multiple strings is that most functions for string manipulations included with Octave support this representation. As an example, it is possible to compare one string with many others using the @code{strcmp} function. If one of the arguments to this function is a string and the other is a cell array of strings, each element of the cell array will be compared to the string argument: @example @group c = @{"hello", "world"@}; strcmp ("hello", c) @result{} ans = 1 0 @end group @end example @noindent The following string functions support cell arrays of strings: @code{char}, @code{strvcat}, @code{strcat} (@pxref{Concatenating Strings}), @code{strcmp}, @code{strncmp}, @code{strcmpi}, @code{strncmpi} (@pxref{Comparing Strings}), @code{str2double}, @code{deblank}, @code{strtrim}, @code{strtrunc}, @code{strfind}, @code{strmatch}, , @code{regexp}, @code{regexpi} (@pxref{Manipulating Strings}) and @code{str2double} (@pxref{String Conversions}). The function @code{iscellstr} can be used to test if an object is a cell array of strings. @DOCSTRING(iscellstr) @node Processing Data in Cell Arrays @subsection Processing Data in Cell Arrays Data that is stored in a cell array can be processed in several ways depending on the actual data. The simplest way to process that data is to iterate through it using one or more @code{for} loops. The same idea can be implemented more easily through the use of the @code{cellfun} function that calls a user-specified function on all elements of a cell array. @xref{doc-cellfun}. An alternative is to convert the data to a different container, such as a matrix or a data structure. Depending on the data this is possible using the @code{cell2mat} and @code{cell2struct} functions. @DOCSTRING(cell2mat) @DOCSTRING(cell2struct) @node Comma Separated Lists @section Comma Separated Lists @cindex comma separated lists @cindex cs-lists Comma separated lists @footnote{Comma-separated lists are also sometimes informally referred to as @dfn{cs-lists}.} are the basic argument type to all Octave functions - both for input and return arguments. In the example @example max (@var{a}, @var{b}) @end example @noindent @samp{@var{a}, @var{b}} is a comma separated list. Comma separated lists can appear on both the right and left hand side of an assignment. For example @example @group x = [1 0 1 0 0 1 1; 0 0 0 0 0 0 7]; [@var{i}, @var{j}] = find (@var{x}, 2, "last"); @end group @end example @noindent Here, @samp{@var{x}, 2, "last"} is a comma separated list constituting the input arguments of @code{find}. @code{find} returns a comma separated list of output arguments which is assigned element by element to the comma separated list @samp{@var{i}, @var{j}}. Another example of where comma separated lists are used is in the creation of a new array with @code{[]} (@pxref{Matrices}) or the creation of a cell array with @code{@{@}} (@pxref{Basic Usage of Cell Arrays}). In the expressions @example @group a = [1, 2, 3, 4]; c = @{4, 5, 6, 7@}; @end group @end example @noindent both @samp{1, 2, 3, 4} and @samp{4, 5, 6, 7} are comma separated lists. Comma separated lists cannot be directly manipulated by the user. However, both structure arrays and cell arrays can be converted into comma separated lists, and thus used in place of explicitly written comma separated lists. This feature is useful in many ways, as will be shown in the following subsections. @menu * Comma Separated Lists Generated from Cell Arrays:: * Comma Separated Lists Generated from Structure Arrays:: @end menu @node Comma Separated Lists Generated from Cell Arrays @subsection Comma Separated Lists Generated from Cell Arrays As has been mentioned above (@pxref{Indexing Cell Arrays}), elements of a cell array can be extracted into a comma separated list with the @code{@{} and @code{@}} operators. By surrounding this list with @code{[} and @code{]}, it can be concatenated into an array. For example: @example @group a = @{1, [2, 3], 4, 5, 6@}; b = [a@{1:4@}] @result{} b = 1 2 3 4 5 @end group @end example Similarly, it is possible to create a new cell array containing cell elements selected with @code{@{@}}. By surrounding the list with @samp{@{} and @samp{@}} a new cell array will be created, as the following example illustrates: @example @group a = @{1, rand(2, 2), "three"@}; b = @{ a@{ [1, 3] @} @} @result{} b = @{ [1,1] = 1 [1,2] = three @} @end group @end example Furthermore, cell elements (accessed by @code{@{@}}) can be passed directly to a function. The list of elements from the cell array will be passed as an argument list to a given function as if it is called with the elements as individual arguments. The two calls to @code{printf} in the following example are identical but the latter is simpler and can handle cell arrays of an arbitrary size: @example @group c = @{"GNU", "Octave", "is", "Free", "Software"@}; printf ("%s ", c@{1@}, c@{2@}, c@{3@}, c@{4@}, c@{5@}); @print{} GNU Octave is Free Software printf ("%s ", c@{:@}); @print{} GNU Octave is Free Software @end group @end example If used on the left-hand side of an assignment, a comma separated list generated with @code{@{@}} can be assigned to. An example is @example @group in@{1@} = [10, 20, 30, 40, 50, 60, 70, 80, 90]; in@{2@} = inf; in@{3@} = "last"; in@{4@} = "first"; out = cell (4, 1); [out@{1:3@}] = find (in@{1 : 3@}); [out@{4:6@}] = find (in@{[1, 2, 4]@}) @result{} out = @{ [1,1] = 1 [2,1] = 9 [3,1] = 90 [4,1] = 1 [3,1] = 1 [4,1] = 10 @} @end group @end example @node Comma Separated Lists Generated from Structure Arrays @subsection Comma Separated Lists Generated from Structure Arrays Structure arrays can equally be used to create comma separated lists. This is done by addressing one of the fields of a structure array. For example: @example @group x = ceil (randn (10, 1)); in = struct ("call1", @{x, 3, "last"@}, "call2", @{x, inf, "first"@}); out = struct ("call1", cell (2, 1), "call2", cell (2, 1)); [out.call1] = find (in.call1); [out.call2] = find (in.call2); @end group @end example